Assistant Professor in Data Science | Remote | HBMSU

Job Description

Hamdan Bin Mohammed Smart University (HBMSU) invites applications for a unique, non-resident, full-time Virtual Assistant Professor in Data Science. This remote position allows you to join a globally recognized leader in smart learning from anywhere in the world. We are seeking an expert to deliver high-quality online education and conduct impactful research in data science.

This role is ideal for a passionate educator and researcher who excels in a fully remote environment and is committed to mentoring the next generation of data scientists.

Key Responsibilities:

• Teach engaging graduate-level data science courses using advanced online learning platforms and innovative technologies.
• Design and develop cutting-edge instructional materials, e-content, and a forward-thinking curriculum for online programs.
• Mentor and advise graduate students virtually throughout their academic journeys.
• Create and lead professional short courses and workshops for data science professionals and communities.
• Conduct and publish high-impact research in top-tier, peer-reviewed journals on data science and related fields.
• Pursue and secure external funding through persuasive research proposals.
• Contribute to academic program accreditation and support the service mission of the School of e-Education.

Qualifications & Skills:

• A Ph.D. in Data Science or a closely related field from an accredited university where English is the language of instruction.
• A demonstrated record of successful teaching experience at the university level.
• Proven expertise in teaching at the graduate level is essential.
• Required experience in online and e-learning environments; this is a fully remote position.
• A strong ability to integrate real-world industry insights and practices into the online curriculum and virtual classroom.
• Proven capability in developing and delivering professional workshops and training.
• A strong research profile with high-quality publications in data science is highly valued.

Embrace the future of academia. This remote role offers the opportunity to build your career with a pioneering smart university without the need to relocate.